data scientist

Huspy

<div>
 <strong>
  The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
  <br/>
  <br/>
 </strong>
 Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.
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 <br/>
 Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
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 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.We&rsquo;re not slowing down.
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 The question is: will you be part of what&rsquo;s next?
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 <strong>
  The Main Event: What You&rsquo;ll Drive, Build, and Own
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 </strong>
 <ul>
  <li>
   Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.
  </li>
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   Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.
  </li>
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   Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.
  </li>
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   Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).
  </li>
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   Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
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  </li>
 </ul>
 <strong>
  The Perfect Match: What It Takes to Succeed at Huspy
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 </strong>
 <ul>
  <li>
   Proven Experience: 4&ndash;8 years in applied data science/ML, delivering models that move real-world KPIs.
  </li>
  <li>
   SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.
  </li>
  <li>
   MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
  </li>
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   Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
  </li>
  <li>
   Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
  </li>
  <li>
   Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
  </li>
  <li>
   Academic Background: Bachelor&rsquo;s in STEM (Master&rsquo;s a plus).
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   <br/>
  </li>
 </ul>
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>


Data Scientist

Emirates

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 A World leader in air cargo. We possess a geographical advantage that enables us to reach over 140 destinations across 6 continents. We are able to cater to two-thirds of the world&rsquo;s population in just 8 hours and serve major international trade regions quickly and efficiently. Our SkyCargo group works in partnership to facilitate global trade and connect customers with their destinations. We have a young, efficient, wide-bodied fleet, with ample capacity to transport cargo through our state-of-the-art, multi-airport hub in Dubai and adapt to our customers ever-changing needs.
 <br/>
 <br/>
 In the role of
 <strong>
  Data Scientist
 </strong>
 you will undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
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 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
  </li>
  <li>
   Develop dimensions of the DS project such as data analysis, visualisation and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
  </li>
  <li>
   Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
  </li>
  <li>
   Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
  </li>
  <li>
   Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
  </li>
  <li>
   Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
  </li>
  <li>
   Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
   <br/>
   <br/>
  </li>
 </ul>
 Qualification
 <br/>
 <br/>
 <strong>
  To be considered for this role, you must meet the below requirements:
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications:
 </strong>
 MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
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 <br/>
 <strong>
  Experience:
 </strong>
 5+ years experience in Information Systems.
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 <strong>
  Knowledge &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience in Data Science ecosystem.
  </li>
  <li>
   Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
  </li>
  <li>
   Hands-on experience with SQL, R, Python.
  </li>
  <li>
   Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
  </li>
  <li>
   Hands-on experience building libraries and packages to be re-used by others.
  </li>
  <li>
   Hands-on experience building DS Solutions for production usage.
  </li>
  <li>
   Team player with a problem solving attitude.
  </li>
  <li>
   Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
  </li>
  <li>
   Able to challenge and review the quality and value generated from analytical output.
   <br/>
   <br/>
  </li>
 </ul>
 At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
 <br/>
 <br/>
 Salary &amp; benefits
 <br/>
 <br/>
 Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>


Data Scientist (Emiratisation)

Chalhoub Group

<div>
 <strong>
  INSPIRE | EXHILARATE | DELIGHT
  <br/>
  <br/>
 </strong>
 For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
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 Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
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 Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work&reg; certification in several markets.
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 Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.
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 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Senior Data Scientist
 </strong>
 to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
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 <strong>
  Key Accountabilities
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 </strong>
 <ul>
  <li>
   Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
  </li>
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   Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
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   Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
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   Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
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   Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
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   Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
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   Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
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   Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
  </li>
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   Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
  </li>
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   Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
  </li>
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   Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
  </li>
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   Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
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  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of experience in applied data science or machine learning.
  </li>
  <li>
   Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).
  </li>
  <li>
   Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.
  </li>
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   Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.
  </li>
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   Knowledge of model performance metrics, statistical validation, and A/B testing approaches.
  </li>
  <li>
   Familiarity with bias detection techniques and fairness frameworks.
  </li>
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   Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.
  </li>
  <li>
   Comfort working with structured and semi-structured data, including tabular and time-series formats.
  </li>
  <li>
   Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.
  </li>
  <li>
   Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.
  </li>
  <li>
   Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.
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   <br/>
  </li>
 </ul>
 <strong>
  What We Can Offer You
  <br/>
  <br/>
 </strong>
 With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
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 We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
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 <br/>
 <strong>
  We Invite All Applicants to Apply
  <br/>
  <br/>
 </strong>
 It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
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 We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.
</div>


Senior Data Scientist

DICETEK LLC

<div><h1 class="jobSectionHeader"><b>Role Purpose</b></h1><p>
The Senior Data Scientist will lead the development, optimization, and deployment of advanced card fraud detection models for issuing and acquiring businesses. This role involves end-to-end model lifecycle management, including training, hosting, evaluation, and deployment using SAS SFD and modern MLOps practices. The candidate will work closely with fraud risk, data engineering, and technology teams to ensure robust, scalable, and high-performing solutions.</p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li>Card Fraud Model Development &amp; Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives.</li><li>Model Hosting &amp; Deployment: Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.</li><li>MLOps &amp; Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.</li><li>Evaluation &amp; Testing: Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.</li><li>Collaboration &amp; Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</li></ul><h1 class="jobSectionHeader"><b><br>
Required Skills &amp; Qualifications</b></h1><ul><li>Education: Master&rsquo;s or Ph.D. in Data Science, Statistics, Computer Science, or related field.</li><li>Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data.</li><li>Experience: 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments.</li><li>Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities.</li></ul><h1 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h1><ul><li>Experience in banking or payments industry.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment.</li><li>Knowledge of regulatory compliance in fraud risk management.</li></ul></div>

Senior Fraud Data Scientist

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose<br>
</b></h5> <p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.<br>
</p><p></p><br>
<p>As a <b>Data Scientist Team Lead </b>you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.<br>
</p><p></p><br>
<p><b>In this role you will:
</b></p><div><ul><li>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.
</li><li>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
</li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.<br>
<li>
</li></ul></div><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
 </b></p><p><b>Qualifications:
</b></p><div><ul><li>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li></ul></div><p><b>Experience:
</b></p><div><ul><li>7-10+ years of hands-on experience in the Analytics ecosystem including:
</li></ul></div><div><div><div><div><ul><li>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.
</li></ul><ul><li>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li></ul><ul><li>5-7 years hands-on experience with SQL, R, Python.
</li></ul><ul><li>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li></ul><ul><li>3-5 years hands-on experience building libraries and packages to be re-used by others.
</li></ul><ul><li>3-5 years hands-on experience building DS Solutions for production usage.
</li></ul><ul><li>Team player with a problem-solving attitude.
</li></ul><ul><li>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li></ul><ul><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.<br>
<ul><li>
</li></ul></div></div></div></div><div></div><br>
<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more.
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Data Scientist Team Lead –

<div><h5 class="jobSectionHeader"><b>Job Purpose
</b></h5><p>dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering &amp; retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world&rsquo;s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we&rsquo;d love to have you onboard.
</p><p>As a Data Scientist &ndash; AI Engineer, your role will be to undertake Data Science and AI projects by designing and applying generative AI and LLM-based techniques, alongside machine learning, problem structuring, and data analysis to solve complex business problems across the dnata Travel Group portfolio, with a focus on timely delivery and ownership of results.
</p><p><b>In this role, you will:
</b></p><ul><li>Deliver analytics and data science projects using statistical, machine learning, and AI techniques
</li><li>Translate data into clear insights and recommendations for business stakeholders
</li><li>Develop and maintain data pipelines, models, and analytical tools
</li><li>Analyse KPIs and large datasets (structured and unstructured) to identify trends and opportunities
</li><li>Apply the most appropriate techniques (ML, optimisation, AI/LLMs) to solve business problems
</li><li>Collaborate with cross-functional teams across data, engineering, and business domains
</li><li>Support deployment, testing, and continuous improvement of solutions in production environments
</li>Work in iterative delivery cycles, adapting quickly to changing requirements<br>
<li>
</li></ul><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for this position, you must meet the below requirements:
</b></p><ul><li>MSc/PhD in a relevant field (data science, operations research, mathematics, AI, statistics, etc.)
</li><li>2&ndash;4 years of hands-on experience in the analytics ecosystem
</li><li>Experience with:
<ul><li>Programming languages (SQL, R, Python)
</li><li>LLMs, GenAI, including prompt engineering and RAG patterns
</li><li>Azure AI stack (Azure OpenAI, AI Search, Document Intelligence)
</li><li>DevOps frameworks (Git, CI/CD, Docker)
</li></ul></li><li>Experience working with DevOps &amp; engineering teams to integrate models and workflows
</li>Experience building reusable libraries/packages and production-grade DS solutions<br>
<li>
</li></ul><p></p><br>
<br>
<p><b>You will have an edge if you have/are:
</b></p><ul><li>Strong team player with a problem-solving mindset
</li><li>Experience delivering advanced analytics in large, complex organisations
</li><li>Ability to challenge and validate analytical outputs
</li><li>Focus on driving business value and long-term stakeholder relationships
</li><li>Capability to grow teams and maintain culture/strategy alignment
</li><li>Experience with agent-based / multi-step AI workflows
</li><li>Exposure to vector databases, embeddings and semantic search
</li><li>Familiarity with MLflow, Databricks, or LLM observability frameworks
</li><li>Proven experience delivering end-to-end data / AI pipelines from ingestion through to deployment
</li><li>Experience scaling an AI solution in production
</li><li>Leisure travel / destination management industry experience
</li><li>Analytics domain certifications
</li></ul><p>At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team!<br>
</p><p></p><br>
<h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Data Scientist, AI Engineer

Explore 405+ Data scientist in Dubai this July. Find roles across top companies and apply now to boost your career.

405 data scientist jobs In Dubai

Data Scientist

Data Scientist (Emiratisation)

Senior Data Scientist

Senior Fraud Data Scientist

Data Scientist Team Lead –

Data Scientist, AI Engineer

Senior Fraud Data Scientist